<html><head><title>Data Science Manager - Philadelphia, PA</title></head>
<body><h2>Data Science Manager - Philadelphia, PA</h2>
<p><b>University Overview
</b></p><p>The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News &amp; World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning.
</p><p></p><p>Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play.
</p><p></p><p>The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more.
</p><p></p><p><b>Posted Job Title
</b></p>Data Science Manager
<p></p><p><b>Job Profile Title
</b></p>Manager Research Project B
<p></p><p><b>Job Description Summary
</b></p>This position will assist in developing and maintaining various lab data models, including behavioral information, physiological measurements, and other related tools to integrate various types of high-throughput molecular measurements including genomic, transcriptomic, proteomic, metabolomic, and anatomical data, as well as physiological, behavioral, and self-report data. In addition, will analyze the logical and physical database models and ensure models are in accordance with standards while organizing and curating various data in platforms for analysis, while developing tools for modeling scientific data using machine-learning approaches. Must have working knowledge and proficiency with: relational database management systems, such as MySQl, programming languages, such as Python (using any Web application framework), Ruby, PERL, and Unix (bash scripts). Machine- learning methodologies, such as Random Forest, SVM, Logistic regression, nested loop cross validation, discriminant analysis, statistical software, such as R and SAS with statistical methods, including principal component analysis, survival analysis, multivariate, time series trend analysis, ANOVA, RQMS, and sample size power analysis. Preferred candidates will also have experience computing in cluster environments, cloud computing (AWS), sysadmin experience (Lunix), familiarity with GitHub and experience managing junior data scientists.
<p></p><p><b>Job Description
</b></p><ul><li>Develop, implement, and maintain various lab data models, including behavioral information, physiological measurements, and other related data. Will provide support for data initiatives to ensure reliability and accuracy of information loaded into databases</li><li>Direct the specification, design, and implementation of tools that integrate, search, and display data, working closely with different bioinformaticians, behavioral scientists, and hardware engineers. Will analyze the logical and physical database models and ensure models are in accordance with standards</li><li>Lead in developing tools to integrate various types of high-throughput molecular measurements including genomic, transcriptomic, proteomic, metabolomics, and anatomical data, as well as physiological behavioral and self-report data. Performing analysis and testing of relational databases</li><li>Organize and curate various data in platforms for analysis, while developing tools for modeling scientific data using machine learning approaches. Investigate any data load failures or data retrieval issues</li><li>Develop strategies for data acquisitions, archive recovery, and implementation of a database. Working independently yet collaborate effectively with co-workers and manage junior data scientists</li><li>Other duties and responsibilities as assigned</li></ul><p><br/>
Master's Degree with 3-5 years of related experience or equivalent combination of education and experience is required
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Working Conditions
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Office, library, computer room
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Physical Effort
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Typically sitting at a desk or table; Occasional lifting 25 lb. or less; Typically standing or walking
</p><p></p><p><b>Job Location - City, State
</b></p>Philadelphia, Pennsylvania
<p></p><p><b>Department / School
</b></p>Perelman School of Medicine
<p></p><p><b>Pay Range
</b></p>$59,703.00 - $113,435.00
<p></p><p><b>Affirmative Action Statement
</b><br/>
Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class.
</p><p></p><p><b>Special Requirements
</b><br/>
Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.</p></body>
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